直流电动机参数测定

根据直流电机的可逆原理并利用常规的实验仪表，可以简便、准确地测出直流电动机的主要参数－电磁转矩、输出转矩和效率．     

单片机控制泄漏电流测试仪

以8031单片机为核心的泄漏电流测试仪的硬件结构和软件设计。     

某微型起爆器引起的一起误爆事故分析

该文分析某微型起爆器引起的一起误爆事故，指出该起爆器设计上的缺陷及其对作业安全的威胁，提出防患建议。     

MKR──一种有效的增量式概念获取系统

本文对示例式学习的ＩＤ５Ｒ算法进行了深入的研究并作了进一步的改进，提高了其计算效率．并提出一种适合于增量式学习的抗干扰机制，拓广了算法的适用范围．     

Real-World Robotics: Learning to Plan for Robust Execution

In executing classical plans in the real world, small discrepancies between a planner's internal representations and the real world are unavoidable. These can conspire to cause real-world failures even though the planner is sound and, therefore, proves that a sequence of actions achieves the goal. Permissive planning, a machine learning extension to classical planning, is one response to this difficulty. This paper describes the permissive planning approach and presents GRASPER, a permissive planning robotic system that learns to robustly pick up novel objects.     

反向回转双激振器振动机控制同步的理论研究

本文对两激振器作反向回转的振动机控制同步进行了理论研究和计算机仿真。推导出了考虑质心偏移时两主轴的转矩差方程，在此基础上建立了控制系统的数学模型，设计了具有鲁棒性的非线性变结构滑模控制器．仿真结果表明，控制同步不仅可以消除由质心偏移、电机特性差等原因引起的稳态相位差，同时还能大大降低瞬态相位差，从而使机体的振动方向保持不变，减小起、制动过程中机体的摇摆振动．     

Issues in nonlinear stochastic grey box identification

Grey box identification refers to the practice of identifying dynamical systems in model structures exploiting partial prior information. This contribution reviews a method for stochastic grey box identification and surveys experiences and lessons of applying it to a number of industrial processes. Issues to be addressed include advantages and costs of introducing stochastics into the model, the question of what contribution must be expected from the model designer as opposed to what can be formalized in computer algorithms, and an outlook on future plans to resolve present shortcomings.     

电动自行车充电器自动检测系统设计

介绍了基于PC虚拟仪器和VB环境的电动自行车充电器自动检测系统，阐述了系统检测原理，硬件结构设计及应用软件的编制方法，文中还给出了一个实用的恒流放电电子负载电路。     

Machine assignment and part-families formation using group technology

The conventional way of solving the group technology (GT) problem is to start from an assignment of parts to machines and try to find a partitioning of machine cells and part families. The similarity between parts is measured based on commonality of the machines assigned to them. However, parts are assigned to machines based on their operation requirements and the operation capabilities of machines. Similarity between parts should be based on their required operations. In this paper, the authors attempt to solve or facilitate solving the GT problem at the assignment level. An algorithm for assigning parts to machines is provided which utilizes the types of operations required by parts and applies GT principles in producing the assignment. This leads to better partitioning of machine cells and part-families. Furthermore, operation sequences required by parts in determining the similarity between parts have been considered. An algorithm to form part-families based on the operation sequence similarity coefficient has been developed. The resulting families are then used by the assignment algorithm to produce machine assignments to part-families. The use of the algorithm is demonstrated by examples.